keras
https://github.com/keras-team/keras
Python
Deep Learning for humans
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- Issues
- Inconsistent execution results by the PyTorch backend
- the dynamic has a result, but the static inference shape reports an error
- Embedding Projector using TensorBoard callback
- ops.image.affine_transform() does not work as a layer in GPU
- Wrong binary accuracy with Jax
- layers.GRU returns wrong shaped output with GPU
- Subclassing a model, writing a custom train_step, and distributed training in Tensorflow
- Possible JIT compilation bug with JAX
- This works in keras 2.15 with TensorFlow 2.15 but does not 3.5 with TensorFlow 2.17: multiple lookup layer types in inputs
- Tensorboard callback is blocking process
- Docs
- Python not yet supported